The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “Deep Learning with OpenCV,” a […]
This article was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. Artificial intelligence, or AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine. It seems that every company, no matter what their business, needs to have some kind of
Harnessing the Power of AI: An Easy Start with Lattice’s sensAI Read More +
Since 2015, the Embedded Vision Alliance has surveyed computer vision developers regarding the products they are working on and the hardware and software tools they are using in their projects. This white paper provides selected results from our most recent survey, conducted in November 2018. We received responses from 692… “Tools and Processors for Computer
An ISP (image signal processor) in combination with one or several vision processors can collaboratively deliver more robust computer vision processing capabilities than vision processing is capable of providing standalone. However, an ISP operating in a computer vision-optimized configuration may differ from one functioning under the historical assumption that its outputs would be intended for
Combining an ISP and Vision Processor to Implement Computer Vision Read More +
While visible light image sensors may be the baseline “one sensor to rule them all” included in all autonomous system designs, they’re not necessarily a sole panacea. By combining them with other sensor technologies: “Situational awareness” sensors; standard and high-resolution radar, LiDAR, infrared and UV, ultrasound and sonar, etc., and “Positional awareness” sensors such as
Multi-sensor Fusion for Robust Device Autonomy Read More +
On December 4, 2018, Embedded Vision Alliance founder Jeff Bier delivered the presentation “The Four Key Trends Driving the Proliferation of Visual Perception” to the Bay Area Computer Vision and Deep Learning Meetup Group. From the event description: Recent updates in computer vision markets and technology Computer vision has gained… “Key Trends Driving the Proliferation
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. DeepStream SDK 3.0 is about seeing beyond pixels. DeepStream exists to make it easier for you to go from raw video data to metadata that can be analyzed for actionable insights. Calibration is a key step in this
Using Calibration to Translate Video Data to the Real World Read More +
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. As we design deep learning networks, how can we quickly prototype the complete algorithm—including pre- and postprocessing logic around deep neural networks (DNNs) —to get a sense of timing and performance on standalone GPUs? This question comes up
Using MATLAB and TensorRT on NVIDIA GPUs Read More +
Pavan Kumar, Co-founder and CTO at Cocoon Cam, delivers the presentation "Harnessing Cloud Computer Vision In a Real-time Consumer Product," at the Embedded Vision Alliance's September 2018 Vision Industry and Technology Forum. Kumar explains how his successful start-up is using edge and cloud vision computing to bring amazing new capabilities to the previously stagnant product
Jie Liu, Visual Intelligence Architect in the Cloud and AI Platforms Group at Microsoft, delivers the presentation "Outside-In Autonomous Systems" at the Embedded Vision Alliance's September 2018 Vision Industry and Technology Forum. Liu shares his company's vision for smart environments that observe and understand space, people and things.
“Outside-In Autonomous Systems,” a Presentation from Microsoft Read More +
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